In case of a disaster, hospitals must be able to receive, in a short period, injured persons for medical and surgical treatment, using available resources and facilities. In such situations different disruptions widely perturb the execution of the established plans. Then medical resources optimization is fundamental to save human lives. Our works focus on operating rooms scheduling taking into ...

In this paper we describe a two-stage optimization model for determining robust rolling stock circulations for passenger trains. Here robustness means that the rolling stock circulations can better deal with large disruptions of the railway system. The two-stage optimization model is formulated as a large Mixed-Integer Linear Programming model. We first use Benders decomposition to determine op...

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Binge drinking leads to brain damage. However, at present few studies have taken into account the continuity in the binge drinking phenomenon, and treated binge drinking as a clearly separable category from other types of drinking patterns. The aim of the present study was to investigate whether severity of binge drinking can predict specific neurocognitive changes in healthy young adults. A to...

One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...

We show how the interbank payment system can become illiquid following wide-scale disruptions. Two forces are at play in such disruptions—operational problems and changes in participants’ behavior. We model the interbank payment system as an n-player game and utilize the concept of a potential function to describe the process by which one of multiple equilibria emerges after a wide-scale disrup...

Public transport smartcard data can be used to detect large crowds. By comparing smartcard data with statistics on habitual behavior (e.g. average by time of day), one can specifically identify non-habitual crowds, which are often problematic for the transport system. While habitual overcrowding (e.g. during peak hour) is well understood by traffic managers and travelers, non-habitual overcrowd...

Supply chain design models in the literature typically assume that facilities never fail. However, in the real world cases facilities are always subject to disruptions of various sorts due to natural disasters, strikes, machine breakdowns, power outages, and other factors. This paper presents an integrated supply chain network design model with the consideration of facility disruptions. Specifi...

Self-organizing processes are crucial for the development of living beings. Practical applications in robots may bene t from the self-organization of behavior, e.g. to increase fault tolerance and enhance exibility, provided that external goals can also be achieved. We present results on the guidance of self-organizing control by visual target stimuli and show a remarkable robustness to sensori...

This paper studies the effect of cascading failures in the risk and reliability assessment of complex infrastructure systems. Conventional reliability assessment is limited to connectivity analysis and does not include the effect of increased flow demand or flow capacity of existing network components. Network flows are associated with congestion-based disruptions which can worsen connectivity-...